EMNLP

RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs

Alberto Testoni, Barbara Plank, Raquel Fernández

机构 * Amsterdam UMC, Department of Medical Informatics（阿姆斯特丹大学医学中心，医学信息学系） ； Center for Information and Language Processing, LMU Munich（信息与语言处理中心，慕尼黑大学） ； Munich Center for Machine Learning (MCML), Munich（慕尼黑机器学习中心（MCML）） ； Institute for Logic, Language and Computation (ILLC), University of Amsterdam（逻辑、语言与计算研究所（ILLC），阿姆斯特丹大学） 纠错

Comments Accepted to EMNLP 2025 (Main Conference)

Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland

Luca Rolshoven, Vishvaksenan Rasiah, Srinanda Brügger Bose, Sarah Hostettler, Lara Burkhalter, Matthias Stürmer, Joel Niklaus

机构 * University of Bern（伯尔尼大学） ； Bern University of Applied Sciences（伯尔尼应用科学大学） ； Stanford University（斯坦福大学） ； University of Fribourg（弗里堡大学） 纠错

Comments Accepted to EMNLP 2025 Findings

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection

Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang

机构 * School of Computer Science, Peking University, Beijing, China（北京大学计算机学院） ； Key Laboratory of High Confidence Software Technologies, Ministry of Education（教育部高可信软件技术重点实验室） ； National Engineering Research Center for Software Engineering, Peking University, China（软件工程国家级工程研究中心） ； Big Data Technology Research Center, Nanhu Laboratory, Jiaxing, China（南湖实验室大数据技术研究中心） ； Peking University Information Technology Institute, Tianjin Binhai, China（北京大学信息科学技术研究院） 纠错

Comments Accepted to EMNLP 2025 (Main Conference)

FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning

Ruosen Li, Ziming Luo, Xinya Du

机构 * Department of Computer Science, University of Texas at Dallas（德克萨斯大学达拉斯分校计算机科学系） ； Department of Electrical Engineering Computer Science, University of Michigen（密歇根大学电子工程与计算机科学系） 纠错

Comments Findings of EMNLP 2025

Read to Hear: A Zero-Shot Pronunciation Assessment Using Textual Descriptions and LLMs

Yu-Wen Chen, Melody Ma, Julia Hirschberg

Comments EMNLP 2025 MainConference

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies

Terrance Liu, Shuyi Wang, Daniel Preotiuc-Pietro, Yash Chandarana, Chirag Gupta

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Bloomberg（彭博） 纠错

Comments EMNLP 2025 main conference

Enhancing Multi-Agent Debate System Performance via Confidence Expression

Zijie Lin, Bryan Hooi

机构 * National University of Singapore（新加坡国立大学） 纠错

Comments EMNLP'25 Findings

You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models

Paweł Mąka, Yusuf Can Semerci, Jan Scholtes, Gerasimos Spanakis

机构 * Department of Advanced Computing Sciences（先进计算科学系） 纠错

Comments EMNLP 2025 main conference

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency

Colin Hong, Xu Guo, Anand Chaanan Singh, Esha Choukse, Dmitrii Ustiugov

机构 * NTU Singapore（新加坡国立大学） ； KTH Royal Institute of Technology（皇家理工学院） ； Microsoft（微软公司） 纠错

Comments Accepted by EMNLP 2025 (Oral), 9 pages

Large Language Models Discriminate Against Speakers of German Dialects

Minh Duc Bui, Carolin Holtermann, Valentin Hofmann, Anne Lauscher, Katharina von der Wense

机构 * Johannes Gutenberg University Mainz（明斯特-贾格施泰因大学） ； Data Science Group, University of Hamburg（汉堡大学数据科学组） ； Allen Institute for AI（人工智能研究所） ； University of Washington（华盛顿大学） ； University of Colorado Boulder（科罗拉多大学博尔德分校） 纠错

Comments Accepted to EMNLP 2025 Main

Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Suyuchen Wang, Jinlin Wang, Xinyu Wang, Shiqi Li, Xiangru Tang, Sirui Hong, Xiao-Wen Chang, Chenglin Wu, Bang Liu

Comments Accepted as a main conference paper at EMNLP 2025

Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs

Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu

机构 * Brown University（布朗大学） ； Drexel University（德雷塞尔大学） 纠错

Comments To be appeared in EMNLP 2025 (main)

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics

Yuriel Ryan, Rui Yang Tan, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

机构 * Singapore University of Technology and Design（新加坡科技设计大学） 纠错

Comments 27 pages, 8 figures, EMNLP 2025 Findings

Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts

Zineddine Tighidet, Andrea Mogini, Hedi Ben-younes, Jiali Mei, Patrick Gallinari, Benjamin Piwowarski

机构 * BNP Paribas（BNP巴黎银行） ； Sorbonne Université（索邦大学） ； Criteo AI Lab（Criteo人工智能实验室） 纠错

Comments Accepted at EMNLP 2025

Journal ref EMNLP 2025

IntrEx: A Dataset for Modeling Engagement in Educational Conversations

Xingwei Tan, Mahathi Parvatham, Chiara Gambi, Gabriele Pergola

机构 * Department of Computer Science, University of Warwick, UK（沃里克大学计算机科学系） ； School of Computer Science, University of Sheffield, UK（谢菲尔德大学计算机科学学院） ； Department of Psychology, University of Warwick, UK（沃里克大学心理学系） 纠错

Comments EMNLP 2025 Findings camera-ready, 9+7 pages

Training Text-to-Molecule Models with Context-Aware Tokenization

Seojin Kim, Hyeontae Song, Jaehyun Nam, Jinwoo Shin

机构 * Seoul National University（首尔国立大学） ； Moloco Inc.（Moloco公司） ； Korea Advanced Institute of Science and Technology (KAIST)（韩国科学技术院） 纠错

Comments EMNLP 2025 Findings

How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations

Yoshiki Takenami, Yin Jou Huang, Yugo Murawaki, Chenhui Chu

机构 * Kyoto University（京都大学） 纠错

Comments 18 pages, 2 figures. Accepted to EMNLP 2025 findings

Language Models Identify Ambiguities and Exploit Loopholes

Jio Choi, Mohit Bansal, Elias Stengel-Eskin

机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

Comments EMNLP 2025 camera-ready; Code: https://github.com/esteng/ambiguous-loophole-exploitation

Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation

Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng

机构 * MAIS, Institute of Automation, Chinese Academy of Sciences（信息与自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； AMAP, Alibaba Group（AMAP，阿里巴巴集团） 纠错

Comments EMNLP 2025 Oral

Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers

Xanh Ho, Sunisth Kumar, Yun-Ang Wu, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa

机构 * National Institute of Informatics, Japan（日本信息机构国家研究所） ； The University of Tokyo, Japan（日本东京大学） ； National Taiwan University（台湾国立大学） ； JFLI, CNRS, Nantes Université, France（法国CNRS-纳antes大学联合研究所） 纠错

Comments EMNLP 2025 Findings; 9 pages; code and data are available at https://github.com/Alab-NII/SciTabAlign

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform

Hayoung Jung, Shravika Mittal, Ananya Aatreya, Navreet Kaur, Munmun De Choudhury, Tanushree Mitra

机构 * Princeton University（普林斯顿大学） ； University of Washington（华盛顿大学） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

Comments To appear at EMNLP 2025. Please cite EMNLP version when proceedings are available

Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint

Heekyung Lee, Jiaxin Ge, Tsung-Han Wu, Minwoo Kang, Trevor Darrell, David M. Chan

机构 * POSTECH ； University of California, Berkeley（加州大学伯克利分校） 纠错

Comments EMNLP 2025 Main Conference

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

Tianshi Zheng, Zheye Deng, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Zihao Wang, Yangqiu Song

机构 * Department of Computer Science and Engineering, HKUST, Hong Kong SAR, China（计算机科学与工程系，香港科技大学，香港特别行政区，中国） 纠错

Comments EMNLP 2025 Main

Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic

Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan

机构 * Zhejiang University（浙江大学） ； School of Engineering, Westlake University（西湖大学工程学院） 纠错

Comments Accepted by EMNLP'25 Main

What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs

Jinhao Pan, Chahat Raj, Ziyu Yao, Ziwei Zhu

机构 * George Mason University（乔治·马歇尔大学） 纠错

Comments EMNLP Findings 2025

Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics

Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent

机构 * Department of Computer Science, Aarhus University, Denmark（计算机科学系，奥胡斯大学） ； Department of Computer Science, University of Copenhagen, Denmark（计算机科学系，哥本哈根大学） 纠错

Comments Accepted at EMNLP Findings 2025

LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning

Tianshi Zheng, Jiayang Cheng, Chunyang Li, Haochen Shi, Zihao Wang, Jiaxin Bai, Yangqiu Song, Ginny Y. Wong, Simon See

Comments EMNLP 2025 Main

Mirror-Consistency: Harnessing Inconsistency in Majority Voting

Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin

机构 * Shanghai Jiaotong University（上海交通大学） ； Tiansuan Lab, Ant Group Co., Ltd.（蚂蚁集团天算实验室） ； SJTU Paris Elite Institute of Technology（上海交通大学巴黎精英理工学院） 纠错

Comments EMNLP 2024 Findings

MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning

Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal

机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

Comments EMNLP 2025 (Camera-Ready)

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts

Yuu Jinnai, Ukyo Honda

机构 * CyberAgent / Tokyo, Japan（CyberAgent） 纠错

Comments EMNLP Findings, 2025